To add custom CSS to a particular notebook you can use HTML. Add and execute a regular Python code cell with the following content: from IPython.core.display import HTML HTML(“”” <style> // add your CSS styling here </style> “””) Alternatively (thanks @abalter) use the %%html cell magic: %%html <style> // add your CSS styling here </style>
Disclaimer: ATM tested only in Ubuntu and Windows (see comments to this answer). Jupyter runs the user’s code in a separate process called kernel. The kernel can be a different Python installation (in a different conda environment or virtualenv or Python 2 instead of Python 3) or even an interpreter for a different language (e.g. … Read more
adding to previous answers, to get the notebook name run the following in a cell: %%javascript IPython.notebook.kernel.execute(‘nb_name = “‘ + IPython.notebook.notebook_name + ‘”‘) this gets you the file name in nb_name then to get the full path you may use the following in a separate cell: import os nb_full_path = os.path.join(os.getcwd(), nb_name)
Thanks to Thomas, here is the solution I was looking for: from IPython.core.interactiveshell import InteractiveShell InteractiveShell.ast_node_interactivity = “all”
Well, it really gives me pain to see how crappy hacks, like setting PYSPARK_DRIVER_PYTHON=jupyter, have been promoted to “solutions” and tend now to become standard practices, despite the fact that they evidently lead to ugly outcomes, like typing pyspark and ending up with a Jupyter notebook instead of a PySpark shell, plus yet-unseen problems lurking … Read more
jupyter notebook –help-all could be of help: –notebook-dir=<Unicode> (NotebookManager.notebook_dir) Default: u’/Users/me/ipynbs’ The directory to use for notebooks. For example: jupyter notebook –notebook-dir=/Users/yourname/folder1/folder2/ You can of course set it in your profiles if needed, you might need to escape backslash in Windows. Note that this will override whatever path you might have set in a jupyter_notebook_config.py … Read more
As mentioned in the comments, conda support for jupyter notebooks is needed to switch kernels. Seems like this support is now available through conda itself (rather than relying on pip). http://docs.continuum.io/anaconda/user-guide/tasks/use-jupyter-notebook-extensions/ conda install nb_conda which brings three other handy extensions in addition to Notebook Conda Kernels.
Add %%capture as the first line of the cell. eg %%capture print(‘Hello’) MyFunction() This simply discards the output, but the %%capture magic can be used to save the output to a variable – consult the docs
This issue arises due to the ways in which the command line IPython interpreter uses your current path vs. the way a separate process does (be it an IPython notebook, external process, etc). IPython will look for modules to import that are not only found in your sys.path, but also on your current working directory. … Read more
Try this: jupyter notebook –NotebookApp.iopub_data_rate_limit=1.0e10 Or this: yourTerminal:prompt> jupyter notebook –NotebookApp.iopub_data_rate_limit=1.0e10